Prospective evaluation of 92 serum protein biomarkers for early detection of ovarian cancer

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Prospective evaluation of 92 serum protein biomarkers for early detection of ovarian cancer. / Mukama, Trasias; Fortner, Renée Turzanski; Katzke, Verena; Hynes, Lucas Cory; Petrera, Agnese; Hauck, Stefanie M; Johnson, Theron; Schulze, Matthias; Schiborn, Catarina; Rostgaard-Hansen, Agnetha Linn; Tjønneland, Anne; Overvad, Kim; Pérez, María José Sánchez; Crous-Bou, Marta; Chirlaque, María-Dolores; Amiano, Pilar; Ardanaz, Eva; Watts, Eleanor L; Travis, Ruth C; Sacerdote, Carlotta; Grioni, Sara; Masala, Giovanna; Signoriello, Simona; Tumino, Rosario; Gram, Inger T; Sandanger, Torkjel M; Sartor, Hanna; Lundin, Eva; Idahl, Annika; Heath, Alicia K; Dossus, Laure; Weiderpass, Elisabete; Kaaks, Rudolf.

In: British Journal of Cancer, Vol. 126, No. 9, 2022, p. 1301-1309.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Mukama, T, Fortner, RT, Katzke, V, Hynes, LC, Petrera, A, Hauck, SM, Johnson, T, Schulze, M, Schiborn, C, Rostgaard-Hansen, AL, Tjønneland, A, Overvad, K, Pérez, MJS, Crous-Bou, M, Chirlaque, M-D, Amiano, P, Ardanaz, E, Watts, EL, Travis, RC, Sacerdote, C, Grioni, S, Masala, G, Signoriello, S, Tumino, R, Gram, IT, Sandanger, TM, Sartor, H, Lundin, E, Idahl, A, Heath, AK, Dossus, L, Weiderpass, E & Kaaks, R 2022, 'Prospective evaluation of 92 serum protein biomarkers for early detection of ovarian cancer', British Journal of Cancer, vol. 126, no. 9, pp. 1301-1309. https://doi.org/10.1038/s41416-021-01697-z

APA

Mukama, T., Fortner, R. T., Katzke, V., Hynes, L. C., Petrera, A., Hauck, S. M., Johnson, T., Schulze, M., Schiborn, C., Rostgaard-Hansen, A. L., Tjønneland, A., Overvad, K., Pérez, M. J. S., Crous-Bou, M., Chirlaque, M-D., Amiano, P., Ardanaz, E., Watts, E. L., Travis, R. C., ... Kaaks, R. (2022). Prospective evaluation of 92 serum protein biomarkers for early detection of ovarian cancer. British Journal of Cancer, 126(9), 1301-1309. https://doi.org/10.1038/s41416-021-01697-z

Vancouver

Mukama T, Fortner RT, Katzke V, Hynes LC, Petrera A, Hauck SM et al. Prospective evaluation of 92 serum protein biomarkers for early detection of ovarian cancer. British Journal of Cancer. 2022;126(9):1301-1309. https://doi.org/10.1038/s41416-021-01697-z

Author

Mukama, Trasias ; Fortner, Renée Turzanski ; Katzke, Verena ; Hynes, Lucas Cory ; Petrera, Agnese ; Hauck, Stefanie M ; Johnson, Theron ; Schulze, Matthias ; Schiborn, Catarina ; Rostgaard-Hansen, Agnetha Linn ; Tjønneland, Anne ; Overvad, Kim ; Pérez, María José Sánchez ; Crous-Bou, Marta ; Chirlaque, María-Dolores ; Amiano, Pilar ; Ardanaz, Eva ; Watts, Eleanor L ; Travis, Ruth C ; Sacerdote, Carlotta ; Grioni, Sara ; Masala, Giovanna ; Signoriello, Simona ; Tumino, Rosario ; Gram, Inger T ; Sandanger, Torkjel M ; Sartor, Hanna ; Lundin, Eva ; Idahl, Annika ; Heath, Alicia K ; Dossus, Laure ; Weiderpass, Elisabete ; Kaaks, Rudolf. / Prospective evaluation of 92 serum protein biomarkers for early detection of ovarian cancer. In: British Journal of Cancer. 2022 ; Vol. 126, No. 9. pp. 1301-1309.

Bibtex

@article{8b95f0da60754b2e8480f2e43b6cf9ed,
title = "Prospective evaluation of 92 serum protein biomarkers for early detection of ovarian cancer",
abstract = "Background: CA125 is the best available yet insufficiently sensitive biomarker for early detection of ovarian cancer. There is a need to identify novel biomarkers, which individually or in combination with CA125 can achieve adequate sensitivity and specificity for the detection of earlier-stage ovarian cancer. Methods: In the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort, we measured serum levels of 92 preselected proteins for 91 women who had blood sampled ≤18 months prior to ovarian cancer diagnosis, and 182 matched controls. We evaluated the discriminatory performance of the proteins as potential early diagnostic biomarkers of ovarian cancer. Results: Nine of the 92 markers; CA125, HE4, FOLR1, KLK11, WISP1, MDK, CXCL13, MSLN and ADAM8 showed an area under the ROC curve (AUC) of ≥0.70 for discriminating between women diagnosed with ovarian cancer and women who remained cancer-free. All, except ADAM8, had shown at least equal discrimination in previous case-control comparisons. The discrimination of the biomarkers, however, was low for the lag-time of >9–18 months and paired combinations of CA125 with any of the 8 markers did not improve discrimination compared to CA125 alone. Conclusion: Using pre-diagnostic serum samples, this study identified markers with good discrimination for the lag-time of 0–9 months. However, the discrimination was low in blood samples collected more than 9 months prior to diagnosis, and none of the markers showed major improvement in discrimination when added to CA125.",
author = "Trasias Mukama and Fortner, {Ren{\'e}e Turzanski} and Verena Katzke and Hynes, {Lucas Cory} and Agnese Petrera and Hauck, {Stefanie M} and Theron Johnson and Matthias Schulze and Catarina Schiborn and Rostgaard-Hansen, {Agnetha Linn} and Anne Tj{\o}nneland and Kim Overvad and P{\'e}rez, {Mar{\'i}a Jos{\'e} S{\'a}nchez} and Marta Crous-Bou and Mar{\'i}a-Dolores Chirlaque and Pilar Amiano and Eva Ardanaz and Watts, {Eleanor L} and Travis, {Ruth C} and Carlotta Sacerdote and Sara Grioni and Giovanna Masala and Simona Signoriello and Rosario Tumino and Gram, {Inger T} and Sandanger, {Torkjel M} and Hanna Sartor and Eva Lundin and Annika Idahl and Heath, {Alicia K} and Laure Dossus and Elisabete Weiderpass and Rudolf Kaaks",
note = "Publisher Copyright: {\textcopyright} 2022, The Author(s).",
year = "2022",
doi = "10.1038/s41416-021-01697-z",
language = "English",
volume = "126",
pages = "1301--1309",
journal = "The British journal of cancer. Supplement",
issn = "0007-0920",
publisher = "nature publishing group",
number = "9",

}

RIS

TY - JOUR

T1 - Prospective evaluation of 92 serum protein biomarkers for early detection of ovarian cancer

AU - Mukama, Trasias

AU - Fortner, Renée Turzanski

AU - Katzke, Verena

AU - Hynes, Lucas Cory

AU - Petrera, Agnese

AU - Hauck, Stefanie M

AU - Johnson, Theron

AU - Schulze, Matthias

AU - Schiborn, Catarina

AU - Rostgaard-Hansen, Agnetha Linn

AU - Tjønneland, Anne

AU - Overvad, Kim

AU - Pérez, María José Sánchez

AU - Crous-Bou, Marta

AU - Chirlaque, María-Dolores

AU - Amiano, Pilar

AU - Ardanaz, Eva

AU - Watts, Eleanor L

AU - Travis, Ruth C

AU - Sacerdote, Carlotta

AU - Grioni, Sara

AU - Masala, Giovanna

AU - Signoriello, Simona

AU - Tumino, Rosario

AU - Gram, Inger T

AU - Sandanger, Torkjel M

AU - Sartor, Hanna

AU - Lundin, Eva

AU - Idahl, Annika

AU - Heath, Alicia K

AU - Dossus, Laure

AU - Weiderpass, Elisabete

AU - Kaaks, Rudolf

N1 - Publisher Copyright: © 2022, The Author(s).

PY - 2022

Y1 - 2022

N2 - Background: CA125 is the best available yet insufficiently sensitive biomarker for early detection of ovarian cancer. There is a need to identify novel biomarkers, which individually or in combination with CA125 can achieve adequate sensitivity and specificity for the detection of earlier-stage ovarian cancer. Methods: In the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort, we measured serum levels of 92 preselected proteins for 91 women who had blood sampled ≤18 months prior to ovarian cancer diagnosis, and 182 matched controls. We evaluated the discriminatory performance of the proteins as potential early diagnostic biomarkers of ovarian cancer. Results: Nine of the 92 markers; CA125, HE4, FOLR1, KLK11, WISP1, MDK, CXCL13, MSLN and ADAM8 showed an area under the ROC curve (AUC) of ≥0.70 for discriminating between women diagnosed with ovarian cancer and women who remained cancer-free. All, except ADAM8, had shown at least equal discrimination in previous case-control comparisons. The discrimination of the biomarkers, however, was low for the lag-time of >9–18 months and paired combinations of CA125 with any of the 8 markers did not improve discrimination compared to CA125 alone. Conclusion: Using pre-diagnostic serum samples, this study identified markers with good discrimination for the lag-time of 0–9 months. However, the discrimination was low in blood samples collected more than 9 months prior to diagnosis, and none of the markers showed major improvement in discrimination when added to CA125.

AB - Background: CA125 is the best available yet insufficiently sensitive biomarker for early detection of ovarian cancer. There is a need to identify novel biomarkers, which individually or in combination with CA125 can achieve adequate sensitivity and specificity for the detection of earlier-stage ovarian cancer. Methods: In the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort, we measured serum levels of 92 preselected proteins for 91 women who had blood sampled ≤18 months prior to ovarian cancer diagnosis, and 182 matched controls. We evaluated the discriminatory performance of the proteins as potential early diagnostic biomarkers of ovarian cancer. Results: Nine of the 92 markers; CA125, HE4, FOLR1, KLK11, WISP1, MDK, CXCL13, MSLN and ADAM8 showed an area under the ROC curve (AUC) of ≥0.70 for discriminating between women diagnosed with ovarian cancer and women who remained cancer-free. All, except ADAM8, had shown at least equal discrimination in previous case-control comparisons. The discrimination of the biomarkers, however, was low for the lag-time of >9–18 months and paired combinations of CA125 with any of the 8 markers did not improve discrimination compared to CA125 alone. Conclusion: Using pre-diagnostic serum samples, this study identified markers with good discrimination for the lag-time of 0–9 months. However, the discrimination was low in blood samples collected more than 9 months prior to diagnosis, and none of the markers showed major improvement in discrimination when added to CA125.

U2 - 10.1038/s41416-021-01697-z

DO - 10.1038/s41416-021-01697-z

M3 - Journal article

C2 - 35031764

AN - SCOPUS:85122722777

VL - 126

SP - 1301

EP - 1309

JO - The British journal of cancer. Supplement

JF - The British journal of cancer. Supplement

SN - 0007-0920

IS - 9

ER -

ID: 305697084